Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the doc's topical scope, which helps with the go/no-go decision, but says nothing about freshness, caching, size or whether the content is static — minor behavioral gaps for a docs endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler; the trigger condition comes first and each clause (field definitions, ordering guarantees, error format) earns its place by scoping the content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters, full schema coverage, an output schema covering the return payload, and annotations covering safety, the description supplies everything needed to decide to call it. Only a note on staleness or scope limits would add more.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. Schema coverage is 100% and the empty object schema is consistent with a no-argument docs read.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the concrete content the tool exposes ('field definitions, ordering guarantees or the error format'), which clarifies the resource well enough to separate it from siblings like benefits_examples, search_bonuses and get_bonus. It stops short of an explicit verb ('returns/reads the server docs') and leans on the title for the resource framing, so it is clear but not fully self-contained.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear trigger — use it 'before calling another tool' when you need field definitions, ordering rules or error format. That is actionable context, but it names no alternatives or exclusions (e.g. when the examples or search tools are preferred instead).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.